Fundamentals: Big-O

Before any pattern: how to measure and justify the efficiency of any code.

Lessons

1. ✓01

   What Is Big-O Notation

   Why we count steps instead of seconds, and the growth classes you'll see in every problem.

2. ✓02

   How to Analyze the Complexity of Any Code

   The four practical rules to look at code and tell — with justification — what its Big-O is.

3. ✓03

   Space Complexity + Section Quiz

   The memory cost of solutions and the quiz that wraps up the fundamentals.